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Performance Testing of Intelligent Data Layer

The result's identifiers

  • Result code in IS VaVaI

    <a href="https://www.isvavai.cz/riv?ss=detail&h=RIV%2F00216275%3A25530%2F24%3A39922657" target="_blank" >RIV/00216275:25530/24:39922657 - isvavai.cz</a>

  • Result on the web

    <a href="https://ieeexplore.ieee.org/document/10900775" target="_blank" >https://ieeexplore.ieee.org/document/10900775</a>

  • DOI - Digital Object Identifier

    <a href="http://dx.doi.org/10.1109/Informatics62280.2024.10900775" target="_blank" >10.1109/Informatics62280.2024.10900775</a>

Alternative languages

  • Result language

    angličtina

  • Original language name

    Performance Testing of Intelligent Data Layer

  • Original language description

    With the growing popularity of Object-Realational Mapping (ORM) Frameworks, the performance requirements of the applications that implement them are also growing. Thus, it is necessary to examine whether our proposed Intelligent Data Layer (IDL) can handle application requests efficiently enough compared to conventional ORM Framework implementations. Thus, an environment has been created to simulate the behavior of the application on a production server. From the queries performed and the data collected, it will then be evaluated whether IDL is suitable for use in a production environment and how much of an asset it can be in a practical environment.

  • Czech name

  • Czech description

Classification

  • Type

    D - Article in proceedings

  • CEP classification

  • OECD FORD branch

    10200 - Computer and information sciences

Result continuities

  • Project

  • Continuities

    R - Projekt Ramcoveho programu EK

Others

  • Publication year

    2024

  • Confidentiality

    S - Úplné a pravdivé údaje o projektu nepodléhají ochraně podle zvláštních právních předpisů

Data specific for result type

  • Article name in the collection

    Informatics 2024 : 2024 IEEEE 17th International Scientific Conference on Informatics : proceedings

  • ISBN

    979-8-3503-8766-7

  • ISSN

  • e-ISSN

  • Number of pages

    496

  • Pages from-to

    489

  • Publisher name

    IEEE (Institute of Electrical and Electronics Engineers)

  • Place of publication

    New York

  • Event location

    Poprad

  • Event date

    Nov 13, 2024

  • Type of event by nationality

    EUR - Evropská akce

  • UT code for WoS article

    001483035700080